Lead Advanced Analyst (Integrated Marketing)

• The Integrated Marketing Analyst sits within Marketing Analytics and serves as the measurement engine for Airbnb’s cross-channel growth initiatives, spanning Search, Growth Media, Affiliates, and Guest Engagement across Homes, Experiences, Services, and Hotels, as well as emerging pilots
• You’ll partner closely with Marketing, Creative, Data Science, and Finance to prove incrementality and optimize investment across a fast-moving, test-and-learn portfolio
• You will be the dedicated analytics lead for cross-channel marketing strategies for new business lines (eg loyalty or Experiences & Services)
• You’ll start by owning all of the marketing work for Airbnb’s new community and loyalty pilot program, as it scales through multiple phases of testing across international markets
• You’ll design the experiments that separate true program impact from individual campaign-level lift, and turn results into clear recommendations on what to scale, iterate, or stop
• As the loyalty program testing cadence eases, you’ll flex your capacity to support other Integrated Marketing priorities, bringing the same rigor to initiatives across Experiences, Hotels, and Luxe
• Own measurement strategy: Design and lead the end-to-end measurement plan for a major loyalty/community pilot, including multi-arm testing across benefits, credits, and offers
• Design and analyze experiments: Owning experimentation end to end, write experiment plans and analyze the results
• Conducting analysis to deliver actionable insights: Surface findings on customer segments, timing, and creative performance that inform decisions on scaling the program and where to prioritize
• Collaborate with cross-functional partners: Partner with marketing, operations, finance, data science, and product to support a data-driven strategy for marketing, share results, and influence decisions through data
• Present to leadership: Deliver clear, decision-ready readouts to senior marketing and cross-functional leadership on program and campaign effectiveness
• Expand scope over time: As testing needs ease, apply the same experimentation approach to support other growth marketing priorities across additional lines of business

Benefits

• Paid volunteer time
• Health food and snacks
• Generous parental and family leave
• Learning and development
• Annual travel and experiences credit- Technical skills: Advanced proficiency in SQL and Python or R, with experience working in large-scale data environments and building scalable reporting tools
• Adaptability: Comfort operating with ambiguity across a fast-paced, evolving portfolio of initiatives spanning multiple business lines
• Experimentation expertise: Strong background in causal inference and designing experiments and holdouts for multi-touchpoint marketing programs
• Experience: 6+ years in analytics or data science, with depth in marketing, growth, or lifecycle/loyalty analytics
• Modern toolkit: Experience using AI tools to accelerate analysis and build scalable solutions
• Communication: Excellent ability to translate complex analytical trade-offs into clear, confident recommendations for senior, cross-functional stakeholders
• Education: Quantitative degree required
• Insights & Influence: A track record of insights that directly shape strategy, roadmaps, and budget decisions at a senior level